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- The Ramanujan Challenge for AI
- Matching in NC and Local Events
- A sensational Ramsey breakthrough by Domagoj Bradač (reblogged from Sam Mattheus’ blog)
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- Amazing: Erdős’ Unit Distance Problem was Disproved! It was achieved by AI!
- Polymath Plus AI
- Starting Today: Kazhdan Sunday seminar: “Boolean Functions, Hypercontractivity, and Applications”
- Scott Aaronson’s View of my View About Quantum Computing
- The Fully Depolarizing Noise Conjecture for Physical Cat States is Twenty Years Old!
Top Posts & Pages
- The Ramanujan Challenge for AI
- Polymath Plus AI
- Amazing: Erdős' Unit Distance Problem was Disproved! It was achieved by AI!
- Hong Wang and Joshua Zahl's Solution for the Kakeya Problem in Three Dimensions - Reflections and Links
- AI
- Matching in NC and Local Events
- The Fully Depolarizing Noise Conjecture for Physical Cat States is Twenty Years Old!
- The Simplex, the Cyclic polytope, the Positroidron, the Amplituhedron, and Beyond
- Attila Por's Universality Result for Tverberg Partitions
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Tag Archives: Linear programming
Projections to the TSP Polytope
Michael Ben Or told me about the following great paper Linear vs. Semidefinite Extended Formulations: Exponential Separation and Strong Lower Bounds by Samuel Fiorini, Serge Massar, Sebastian Pokutta, Hans Raj Tiwary and Ronald de Wolf. The paper solves an old conjecture … Continue reading
IPAM remote blogging: The Many Facets of Linear Programming
The many facets of Linear Programming Here is an extremely nice paper by Michael Todd from 2001. It gives useful background for many lectures and it can serve as a good base point to examine last decade’s progress. Background post for … Continue reading
Günter Ziegler: 1000$ from Beverly Hills for a Math Problem. (IPAM remote blogging.)
Scanned letter by Zadeh. (c) Günter M. Ziegler left-to-right: David Avis, Norman Zadeh, Oliver Friedmann, and Russ Caflish (IPAM director). Photo courtesy Eddie Kim. Update: The slides for Friedmann’s talk are now available. The conference schedule page contains now the slides for … Continue reading
Posted in Computer Science and Optimization, Conferences, Guest blogger
Tagged Linear programming
4 Comments
Subexponential Lower Bound for Randomized Pivot Rules!
Oliver Friedmann, Thomas Dueholm Hansen, and Uri Zwick have managed to prove subexponential lower bounds of the form for the following two basic randomized pivot rules for the simplex algorithm! This is the first result of its kind and deciding … Continue reading
The Polynomial Hirsch Conjecture: A proposal for Polymath3
This post is continued here. Eddie Kim and Francisco Santos have just uploaded a survey article on the Hirsch Conjecture. The Hirsch conjecture: The graph of a d-polytope with n vertices facets has diameter at most n-d. We devoted several … Continue reading
A Diameter problem (7): The Best Known Bound
Our Diameter problem for families of sets Consider a family of subsets of size d of the set N={1,2,…,n}. Associate to a graph as follows: The vertices of are simply the sets in . Two vertices and are adjacent if . … Continue reading
A Diameter Problem (6): Abstract Objective Functions
George Dantzig and Leonid Khachyan In this part we will not progress on the diameter problem that we discussed in the earlier posts but will rather describe a closely related problem for directed graphs associated with ordered families of sets. The role models for … Continue reading
Posted in Combinatorics, Convex polytopes, Open problems
Tagged Hirsch conjecture, Linear programming
7 Comments
Diameter Problem (3)
3. What we will do in this post and and in future posts We will now try all sorts of ideas to give good upper bounds for the abstract diameter problem that we described. As we explained, such bounds apply … Continue reading
Posted in Combinatorics, Convex polytopes, Open problems
Tagged Hirsch conjecture, Linear programming, Quasi-automated proofs
1 Comment